Unknown

Dataset Information

Online Detection of Multiple Stimulus Changes Based on Single Neuron Interspike Intervals.


ABSTRACT: Nervous systems need to detect stimulus changes based on their neuronal responses without using any additional information on the number, times, and types of stimulus changes. Here, two relatively simple, biologically realistic change point detection methods are compared with two common analysis methods. The four methods are applied to intra- and extracellularly recorded responses of a single cricket interneuron (AN2) to acoustic simulation. Solely based on these recorded responses, the methods should detect an unknown number of different types of sound intensity in- and decreases shortly after their occurrences. For this task, the methods rely on calculating an adjusting interspike interval (ISI). Both simple methods try to separate responses to intensity in- or decreases from activity du

SUBMITTER: Koepcke L 

PROVIDER: S-EPMC6779812 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature